Evidence map›Paper›PMID 32470071›Full record

ArticlePloS one2020

Health care workers in conflict and post-conflict settings: Systematic mapping of the evidence.

Lama Bou-Karroum, Amena El-Harakeh, Inas Kassamany, Hussein Ismail, Nour El Arnaout, Rana Charide, Farah Madi, Sarah Jamali, Tim Martineau, Fadi El-Jardali and 1 more

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

46 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Lama Bou-KarroumCenter for Systematic Reviews on Health Policy and Systems Research (SPARK), American University of Beirut, Beirut, Lebanon.
Amena El-HarakehCenter for Systematic Reviews on Health Policy and Systems Research (SPARK), American University of Beirut, Beirut, Lebanon.
Inas KassamanyDepartment of Health Management and Policy, Faculty of Health Sciences, American University of Beirut, Beirut, Lebanon.ORCID 0000-0003-4461-8753
Hussein IsmailFaculty of Health Sciences, American University of Beirut, Beirut, Lebanon.
Nour El ArnaoutGlobal Health Institute, American University of Beirut, Beirut, Lebanon.
Rana CharideFaculty of Health Sciences, American University of Beirut, Beirut, Lebanon.
Farah MadiFaculty of Health Sciences, American University of Beirut, Beirut, Lebanon.
Sarah JamaliFaculty of Medicine, American University of Beirut, Beirut, Lebanon.ORCID 0000-0001-7618-1520
Tim MartineauDepartment of International Public Health, Liverpool School of Tropical Medicine, United Kingdom.ORCID 0000-0003-4833-3149
Fadi El-JardaliCenter for Systematic Reviews on Health Policy and Systems Research (SPARK), American University of Beirut, Beirut, Lebanon.
Elie A AklCenter for Systematic Reviews on Health Policy and Systems Research (SPARK), American University of Beirut, Beirut, Lebanon.ORCID 0000-0002-3444-8618

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealth care workers (HCWs) are essential for the delivery of health care services in conflict areas and in rebuilding health systems post-conflict.

objectiveThe aim of this study was to systematically identify and map the published evidence on HCWs in conflict and post-conflict settings. Our ultimate aim is to inform researchers and funders on research gap on this subject and support relevant stakeholders by providing them with a comprehensive resource of evidence about HCWs in conflict and post-conflict settings on a global scale.

methodsWe conducted a systematic mapping of the literature. We included a wide range of study designs, addressing any type of personnel providing health services in either conflict or post-conflict settings. We conducted a descriptive analysis of the general characteristics of the included papers and built two interactive systematic maps organized by country, study design and theme.

resultsOut of 13,863 identified citations, we included a total of 474 studies: 304 on conflict settings, 149 on post-conflict settings, and 21 on both conflict and post-conflict settings. For conflict settings, the most studied counties were Iraq (15%), Syria (15%), Israel (10%), and the State of Palestine (9%). The most common types of publication were opinion pieces in conflict settings (39%), and primary studies (33%) in post-conflict settings. In addition, most of the first and corresponding authors were affiliated with countries different from the country focus of the paper. Violence against health workers was the most tackled theme of papers reporting on conflict settings, while workforce performance was the most addressed theme by papers reporting on post-conflict settings. The majority of papers in both conflict and post-conflict settings did not report funding sources (81% and 53%) or conflicts of interest of authors (73% and 62%), and around half of primary studies did not report on ethical approvals (45% and 41%).

conclusionsThis systematic mapping provides a comprehensive database of evidence about HCWs in conflict and post-conflict settings on a global scale that is often needed to inform policies and strategies on effective workforce planning and management and in reducing emigration. It can also be used to identify evidence for policy-relevant questions, knowledge gaps to direct future primary research, and knowledge clusters.

Indexed as

Health PersonnelHealth WorkforceWarfare and Armed ConflictsAfricaAmericasDatabases, FactualDelivery of Health CareGeographic MappingGovernment ProgramsHumansMiddle East

Identifiers

PMID32470071
PMCPMC7259645

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.